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Improving Program Targeting Through Simulation

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  • Richard C. Gardiner

    (New York State Department of Health)

Abstract

Statistical identification of employees with unusual sick leave usage patterns can result in false positive identifications. Such misidentifications weaken confidence in detection methods and may increase reluctance of supervisors to pursue reported unusual sick leave use. A computer simulation model was used to evaluate alternate methods and parameters of unusual sick leave detection. Results of the simulation were used to refine identification parameters and to modify supervisory follow-up procedures.

Suggested Citation

  • Richard C. Gardiner, 1994. "Improving Program Targeting Through Simulation," Evaluation Review, , vol. 18(2), pages 208-226, April.
    • Handle: RePEc:sae:evarev:v:18:y:1994:i:2:p:208-226
    DOI: 10.1177/0193841X9401800204
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